Frederik Aust

3.3k total citations
26 papers, 791 citations indexed

About

Frederik Aust is a scholar working on Statistics and Probability, Cognitive Neuroscience and Statistics, Probability and Uncertainty. According to data from OpenAlex, Frederik Aust has authored 26 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics and Probability, 4 papers in Cognitive Neuroscience and 4 papers in Statistics, Probability and Uncertainty. Recurrent topics in Frederik Aust's work include Statistical Methods and Bayesian Inference (5 papers), Memory Processes and Influences (3 papers) and Behavioral Health and Interventions (3 papers). Frederik Aust is often cited by papers focused on Statistical Methods and Bayesian Inference (5 papers), Memory Processes and Influences (3 papers) and Behavioral Health and Interventions (3 papers). Frederik Aust collaborates with scholars based in Germany, Netherlands and United States. Frederik Aust's co-authors include Birk Diedenhofen, Sebastian Ullrich, Jochen Musch, Christoph Stahl, Julia M. Haaf, Eric‐Jan Wagenmakers, Gustav Nilsonne, Michael C. Frank, Johannes Breuer and Hans IJzerman and has published in prestigious journals such as Journal of Personality and Social Psychology, Psychological Bulletin and PLoS ONE.

In The Last Decade

Frederik Aust

25 papers receiving 762 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Frederik Aust Germany 12 205 203 169 146 131 26 791
Katherine S. Corker United States 11 115 0.6× 207 1.0× 234 1.4× 199 1.4× 110 0.8× 21 779
Sara Steegen Belgium 5 199 1.0× 123 0.6× 97 0.6× 196 1.3× 69 0.5× 8 815
Peter J. Etchells United Kingdom 11 286 1.4× 153 0.8× 104 0.6× 194 1.3× 120 0.9× 16 803
Randy J. McCarthy United States 14 121 0.6× 230 1.1× 192 1.1× 100 0.7× 193 1.5× 53 649
Jason Geller United States 13 309 1.5× 146 0.7× 169 1.0× 226 1.5× 50 0.4× 20 828
Samantha F. Anderson United States 12 154 0.8× 78 0.4× 156 0.9× 191 1.3× 132 1.0× 34 788
Malte Elson Germany 17 116 0.6× 542 2.7× 402 2.4× 154 1.1× 158 1.2× 52 1.2k
Alicia Hofelich Mohr United States 10 122 0.6× 74 0.4× 188 1.1× 139 1.0× 120 0.9× 26 687
Aba Szollosi Hungary 12 148 0.7× 94 0.5× 97 0.6× 95 0.7× 34 0.3× 21 663
Chris Hartgerink Netherlands 10 124 0.6× 183 0.9× 424 2.5× 162 1.1× 233 1.8× 20 1.0k

Countries citing papers authored by Frederik Aust

Since Specialization
Citations

This map shows the geographic impact of Frederik Aust's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Frederik Aust with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frederik Aust more than expected).

Fields of papers citing papers by Frederik Aust

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frederik Aust. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Frederik Aust. The network helps show where Frederik Aust may publish in the future.

Co-authorship network of co-authors of Frederik Aust

This figure shows the co-authorship network connecting the top 25 collaborators of Frederik Aust. A scholar is included among the top collaborators of Frederik Aust based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Frederik Aust. Frederik Aust is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Marsh, John E., Mark J. Hurlstone, Linden J. Ball, et al.. (2024). Changing-state irrelevant speech disrupts visual–verbal but not visual–spatial serial recall.. Journal of Experimental Psychology Learning Memory and Cognition. 50(11). 1772–1790. 2 indexed citations
3.
Aust, Frederik, et al.. (2023). Normalized power priors always discount historical data. Stat. 12(1). 6 indexed citations
4.
Bergh, Don van den, Eric‐Jan Wagenmakers, & Frederik Aust. (2023). Bayesian Repeated-Measures Analysis of Variance: An Updated Methodology Implemented in JASP. Advances in Methods and Practices in Psychological Science. 6(2). 21 indexed citations
5.
Aust, Frederik, et al.. (2023). Power priors for replication studies. Test. 33(1). 127–154. 5 indexed citations
6.
Stahl, Christoph, et al.. (2023). A conditional judgment procedure for probing evaluative conditioning effects in the absence of feelings of remembering. Behavior Research Methods. 56(3). 1140–1163. 6 indexed citations
7.
Diedenhofen, Birk, Adrian Hoffmann, Frederik Aust, & Sascha Müller. (2023). Detecting Applicant Faking With a Context-Specific Overclaiming Questionnaire. Journal of Individual Differences. 45(2). 89–97. 1 indexed citations
8.
Sarafoglou, Alexandra, Frederik Aust, Maarten Marsman, et al.. (2023). Multibridge: an R package to evaluate informed hypotheses in binomial and multinomial models. Behavior Research Methods. 55(8). 4343–4368. 1 indexed citations
9.
Doorn, Johnny van, Frederik Aust, Julia M. Haaf, Angelika Marlene Stefan, & Eric‐Jan Wagenmakers. (2021). Bayes Factors for Mixed Models. Computational Brain & Behavior. 6(1). 1–13. 23 indexed citations
10.
Kovács, Márton, Alex O. Holcombe, Frederik Aust, & Balázs Aczél. (2021). Tenzing and the importance of tool development for research efficiency. Information Services & Use. 41(1-2). 123–130. 3 indexed citations
11.
Kovács, Márton, Frederik Aust, Alex O. Holcombe, & Balázs Aczél. (2020). marton-balazs-kovacs/tenzing: tenzing: documening contributorship with CRediT. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
12.
Aust, Frederik & Christoph Stahl. (2020). The enhancing effect of 200 mg caffeine on mnemonic discrimination is at best small. Memory. 28(7). 858–869. 1 indexed citations
13.
Holcombe, Alex O., Márton Kovács, Frederik Aust, & Balázs Aczél. (2020). Documenting contributions to scholarly articles using CRediT and tenzing. PLoS ONE. 15(12). e0244611–e0244611. 37 indexed citations
14.
Alves, Hans, Fabia Högden, Anne Gast, Frederik Aust, & Christian Unkelbach. (2020). Attitudes from mere co-occurrences are guided by differentiation.. Journal of Personality and Social Psychology. 119(3). 560–581. 14 indexed citations
15.
Aust, Frederik, et al.. (2019). 9_An alternative to copy-paste reporting: Create dynamic, submission-ready, APA-style manuscripts in R with papaja. OSF Preprints (OSF Preprints). 2 indexed citations
16.
Stahl, Christoph & Frederik Aust. (2018). Evaluative Conditioning as Memory-Based Judgment. Europe’s Journal of Psychology. 13(3). 33 indexed citations
17.
Klein, Olivier, Tom E Hardwicke, Frederik Aust, et al.. (2018). A Practical Guide for Transparency in Psychological Science. Collabra Psychology. 4(1). 149 indexed citations
18.
Aust, Frederik, et al.. (2017). Subliminal influence on preferences? A test of evaluative conditioning for brief visual conditioned stimuli using auditory unconditioned stimuli. Royal Society Open Science. 4(9). 160935–160935. 23 indexed citations
19.
Rouder, Jeffrey N., Julia M. Haaf, & Frederik Aust. (2017). From theories to models to predictions: A Bayesian model comparison approach. Communication Monographs. 85(1). 41–56. 19 indexed citations
20.
Aust, Frederik & Jerri D. Edwards. (2016). Incremental validity of Useful Field of View subtests for the prediction of instrumental activities of daily living. Journal of Clinical and Experimental Neuropsychology. 38(5). 497–515. 13 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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